{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0c45bf7f",
   "metadata": {},
   "source": [
    "## Pandas 绘图 - 折线图 柱状图\n",
    "> 比matplotlib简单"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7e8ada89",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.rcParams['font.sans-serif'] = 'SimHei'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa5e2b28",
   "metadata": {},
   "source": [
    "### 折线图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2858127a",
   "metadata": {},
   "source": [
    "#### Series折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "546d61b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KZ/jbrhM8uiSTymoXt/SOZsnDQwkP8rv6F/qYH1/fhR7RbThXXs38TRqIJyJNp95FZN26deTk5LBw4UJCQ0PrHnl5eVRUVLB161ZSU1Mv+poHH3yQsWPHkp6ezqRJkxg5ciSvvfZak/8QIo2x7Ouj/PS9HVTXuEkb0JEFD9xAkL/WP1yK1WLm2VG1W78v+uoIp+2VBicSEW/RqMWqLUn7iEhzuLAAE2Di0K78T3o/LF42N6apud1ufjx3M98cPceEoV2ZdXd/oyOJiAdrtsWqIq2Z2+1mzpq9dSXk8Vt68JsxKiH1YTKZeO78WZH3tx3j8JlSgxOJiDdQERGfUeNy818fZTHv/BqH5+/sw7Oj+njt8LrmMDS+Hbf1aU+Ny83v1+83Oo6IeAEVEfEJVU4XP31vB8u+PorZBHN+1J9pN/cwOlar9Oyo3phMsHpPAbuOnTM6joi0cioi4vUqqmp4dEkmq3cX4Gcx8fqE6xk/pKvRsVqtPh3CuPv88D8NxBORa6UiIl7NVlHNA4u2smn/GYL8LLzxUDI/6N/R6Fit3lO398LfYmbL4SK+OFBodBwRacVURMRrnSlxMH5BBpl5xYQFWnl3yhBu7hVtdCyv0KVtMA+kdgPgpTV7cWkgnog0koqIeKXjxeXcM28zOQV2okICeH9aKoO7RRody6s8cWsCoQFWsgvs/G33CaPjiEgrpSIiXufg6RLGzt1CblE5XdoG8cH0VK7rqD1omlpkG3+m3RwPwO/X76fK6TI4kYi0Rioi4lV2Hz/HPfO2cNJeSc/2IXwwfRjdo9oYHctrPXxjHNGhARw9W86yr48aHUdEWiEVEfEaWw4Vcd+CDIrLqxnYJZzl01LpEB5odCyvFuxv5affrx2I99qnByh1OA1OJCKtjYqIeIUN2ad46K2vKauqITW+HX99NIW2bfyNjuUTxifH0r1dMEVlVbzx5WGj44hIK6MiIq3eRzuOM/3d7VQ5XdzeN4a3JicTEmA1OpbP8LOYeeaO3gAs/OIwhaUOgxOJSGuiIiKt2tubc/n5+7uocbn50fWdmTvxegL9NEG3pf2gX0cGdAmnrKqG1zceNDqOiLQiKiLSKrndbl779AC//PhbACYN687LYwditeiPtBHM5n8NxPvr1jyOFpUbnEhEWgv9rS2tjsvl5tef5PDKhtqhaz8f0Ytfju6LWRN0DfW9hChu6hlFdY2b32/YZ3QcEWklVESkVXHWuHj2w928+c8jAPxydF+eHNFTE3Q9xIWzIqt2niAr32ZwGhFpDVREpNWorK7h8b9+wwfbj2Mxm/j9PQOZ/L04o2PJv+nXOZzRAzsB8Nt1OisiIlenIiKtQqnDycOLt7E++xT+VjNzJ17Pjwd3MTqWXMIzI3thNZv4Yv8ZNh/UQDwRuTIVEfF4xWVVTHxjK5sPFdHG38LiycmMTOxgdCy5jG7t2jBhaFcAXlq7F7dbA/FE5PJURMSjnbJXcu+CLew6do62wX4sfTSFYT2ijI4lVzHjtp4E+1vYddzGmqyTRscREQ+mIiIeK6+ojB/P3cz+U6V0CAtk+bRUBsZGGB1L6iE6NIApN9UOxHt53T6qazQQT0QuTUVEPFJOgZ2x87ZwvLiCbu2CWTE9lZ4xoUbHkgZ49KY42rXx53BhGcszjxkdR0Q8lIqIeJztecXcO38LZ0oc9OkQyorpqcRGBhsdSxooNNCPn9yWAMAf/3GA8ioNxBOR71IREY/yxf4z3P/GVuyVTgZ3a8v7U1NpH6oJuq3VhKFd6dI2iNMlDt76Z67RcUTEA6mIiMf4+54CHnl7GxXVNQzvFc07jwwhPNjP6FhyDQKsFp4ZWTsQb97nhyguqzI4kYh4GhUR8QjLtx3jJ0u/obrGzV39O/LGgzcQ7K8Jut7ghwM7cV3HMEocTv7yuQbiicjFVETEcAu/OMyzH+7G5Yb7hsTy2n2D8Lfqj6a3qB2IV3tW5O3NeeSfqzA4kYh4Ev1tL4Zxu938bt1e/vfvOQBMuzmeWXf3x6LhdV7n5l7RpMRHUlXj4g/nhxWKiICKiBjE5XLz36uy+PNnhwB4dlRvnr/zOg2v81Imk6luIN6H3xxn38kSgxOJiKdQEZEWV13j4mfv7+TdjKOYTPC/d/fj8VsSjI4lzWxQ17bc2a8Dbjf8bt1eo+OIiIdQEZEWVVFVw9QlmXy86wRWs4nXxg9i4tBuRseSFvLMHb2xmE38I+c023LPGh1HRDxAg4rIqlWriI+Px2q1MnToUHJyaq/tz5gxA5PJVPdISPjXv26zsrJITk6mbdu2zJw5UwOwfJi9spqH3vyaz/adIdDPzMKHbqgbGS++oUd0CONuiAVgzhoNxBORBhSRQ4cOMXnyZObMmUN+fj7dunVjypQpAGzfvp3Vq1dTXFxMcXExO3bsAMDhcDB69GgGDx5MZmYm2dnZLF68uFl+EPFshaUO7luQwde5ZwkNtPLOI0O5tXd7o2OJAX42oieBfma25xXzj5zTRscREYPVu4jk5OQwa9Ysxo0bR0xMDI899hiZmZk4nU6ysrIYPnw4ERERREREEBpaOxNkzZo12Gw2XnnlFXr06MGsWbNYtGhRs/0w4pnyz1Uwbt4Wvj1hJyrEn/emppDcPdLoWGKQmLBAHv5eHAC/XbuXGpfOioj4snoXkbS0NKZPn1738b59+0hISGDPnj243W6SkpIICgpi1KhRHD16FIBdu3aRkpJCcHDtnJABAwaQnZ19xe/jcDiw2+0XPaT1yisq4565mzlcWEbniCCWT0slsVO40bHEYNNu7kF4kB8HTpfy4TfHjY4jIgZq1GLVqqoqXn75ZR5//HGys7NJTExk2bJlZGdn4+fnx7Rp0wCw2+3ExcXVfZ3JZMJisVBcXHzZ1549ezbh4eF1j9jY2MZEFA/x0tq9nLBV0iO6DSumpxIfHWJ0JPEA4UF+PHFrDwD+sGE/ldU1BicSEaM0qoi8+OKLhISEMHXqVCZOnEhGRgbJycnExcXx+uuvs379eux2O1arlYCAgIu+NjAwkPLy8su+9vPPP4/NZqt7HDum8eGtlb2yum4NwB/HD6JTRJDBicSTPJjanU7hgRTYKlmyJdfoOCJikAYXkQ0bNjBv3jyWLl2Kn993B5JFRETgcrkoKCggMjKSM2fOXHS8pKQEf3//y75+QEAAYWFhFz2kdVq75yRVThe9YkJI7KT/jnKxQD8LP7u9FwB//uwQtopqgxOJiBEaVEQOHz7MxIkTmTt3Ln379gXgqaeeYvny5XWfs23bNsxmM7GxsSQnJ5ORkVF3LDc3F4fDQWSkFir6go925AOQntRZO6bKJf34+i70ignBVlHNvE2HjI4jIgaodxGpqKggLS2NMWPGkJ6eTmlpKaWlpQwcOJAXXniBL774go0bNzJjxgwmTZpEcHAww4cPx2azsWTJEgDmzJnDiBEjsFgszfYDiWcosFWQcaQIgPQk7RUil2Yxm5h5R+3W72/98wgnbZUGJxKRllbvOevr1q0jJyeHnJwcFi5cWPf8kSNH2Lt3L+np6YSGhnL33Xcza9as2he3WlmwYAETJkxg5syZ1NTUsGnTpqb/KcTjfLzzBG43DOkeSZe2wUbHEQ824rr23NCtLZl5xfzx0/3M/tEAoyOJSAsyuVtga8P8/HwyMzMZNmwY0dHRDfpau91OeHg4NptN60VakVGvfsHekyXMurs/E4Z2NTqOeLjM3LOMnbcFi9nEup8NJ6G97q4Sae3q+/7dIrNmOnfuTHp6eoNLiLROe0/a2XuyBH+Lmbv6dzQ6jrQCN3SPZMR17alxuXl53T6j44hIC9LQO2lyK3ecAOCW3tGEB3/3ziqRS5l5Rx/MJlj77Ul2HL38XkMi4l1URKRJuVxuPt5Ze7fM3YM6G5xGWpPeHUL50fVdAA3EE/ElKiLSpL7OPcsJWyWhgVZu7aOhdtIwP7+9F/5WM1uPnOXz/Weu/gUi0uqpiEiTWnl+75Af9OtIoJ9u05aG6RwRxEOp3QB4ac1eXBqIJ+L1VESkyVRW17B6TwEAY3RZRhrp8VsSCA2wsvdkCat25RsdR0SamYqINJnP952mpNJJx/BAhsZp91xpnLZt/Jl+S+1AvN+v34/DqYF4It5MRUSazIUt3X+Y1AmzWVu6S+M9/L042ocGcLy4gqVbjxodR0SakYqINAlbeTWf7a1dXKi7ZeRaBflb+NmI2oF4f9p4kJJKDcQT8VYqItIk/p5VQFWNiz4dQunTQTvgyrUbd0MX4qPacLasioVfHjE6jog0ExURaRIX7pbRIlVpKlaLmZl39AbgjS8Pc6bEYXAiEWkOKiJyzfLPVbD1yFlMJvjhQE3alaYzql8HBsZGUF5Vw582HjA6jog0AxURuWarzu+kOjQukk4RQQanEW9iMpl4blTtWZGlW4+SW1hmcCIRaWoqInJN3G533WUZLVKV5jCsRxQ394rG6XLz+w37jY4jIk1MRUSuSU5BCftPleJvMTOqnybtSvN49vxZkb/tOkFWvs3gNCLSlFRE5JpcuCzz/evaEx6kSbvSPBI7hTMmqXb90Utr9xqcRkSakoqINFqNy82qnScASE/SZRlpXk+P7I2fxcSXBwr56kCh0XFEpImoiEijbT1cxEl7JWGBVm7tE210HPFysZHBTBx6fiDeWg3EE/EWKiLSaCvPX5a5a0AnAqyatCvN7ye3JdDG38KefBt/zyowOo6INAEVEWmUyuoa1uw5CVB37V6kuUWFBPDo8HgAXl63j+oal8GJRORaqYhIo3yac5oSh5POEUEkd9ekXWk5U26KJyrEn9yict7bdszoOCJyjVREpFEuXJZJ16RdaWEhAVZm3NYTgD/+4wBlDqfBiUTkWqiISIOdK6/i832nAc2WEWPcN6QrXSODKSx18OZXGogn0pqpiEiDrd5TQHWNm74dw+gVE2p0HPFB/lYzT4/sBcD8Lw5ztqzK4EQi0lgqItJg/5q0q0WqYpzRAzqR2CmMUoeT1zceNDqOiDSSiog0yLGz5WzLLT4/aVeXZcQ4ZrOJ50b1AeDdjDyOF5cbnEhEGkNFRBrk4121O6kO69GODuGBBqcRX3dTzyiG9WhHVY2LVzQQT6RVUhGRenO73Xy048LdMjobIsYzmf51VuSjHfnkFNgNTiQiDaUiIvX27Qk7B0+XEmA1M6pfB6PjiAAwMDaCu/p3xO2G363bZ3QcEWkgFRGptwuLVEdcF0NYoCbtiud45o7eWMwmNu49zdbDRUbHEZEGUBGReqlxuevWh2jvEPE0cVFtGJ8cC8CctXtxuzUQT6S1aFARWbVqFfHx8VitVoYOHUpOTs4VnweYMWMGJpOp7pGQkNC0P4G0iC2Hijhd4iAi2I+be2nSrnieJ7/fkyA/CzuOnmN99imj44hIPdW7iBw6dIjJkyczZ84c8vPz6datG1OmTLns8xds376d1atXU1xcTHFxMTt27GiWH0Sa14VFqnf174i/VSfSxPO0DwvkkRvjAPjt2r04NRBPpFWo9ztKTk4Os2bNYty4ccTExPDYY4+RmZl52ecBnE4nWVlZDB8+nIiICCIiIggN1U6crU1FVQ3rvq2dtHu3LsuIB5t6czxtg/04dKaMD785bnQcEakHa30/MS0t7aKP9+3bR0JCwmWfB9izZw9ut5ukpCTy8/O5+eabWbBgAV27dr3s93E4HDgcjrqP7Xbdjme0f+ScotThpEvbIAZ3a2t0HJHLCgv044lbE/jN6hz+sOEA6UmdCfSzGB1LRK6gUefYq6qqePnll3n88cev+Hx2djaJiYksW7aM7Oxs/Pz8mDZt2hVfe/bs2YSHh9c9YmNjGxNRmlDdlu5JnTGZNGlXPNv9Kd3oHBHESXslizfnGh1HRK7C5G7E8vJnn32W9evXs23bNvz8/K76/AV5eXnEx8dTXFxMWFjYJV/7UmdEYmNjsdlsl/0aaT5ny6oY8r//wOly84+nhpPQXpfWxPN9uP04T6/YRViglS+fvY3wYN1uLtLS7HY74eHhV33/bvAZkQ0bNjBv3jyWLl16Udm43PP/LiIiApfLRUFBwWVfPyAggLCwsIseYpzVu0/gdLnp1zlMJURajTGDOtM7JhR7pZO/bNJAPBFP1qAicvjwYSZOnMjcuXPp27fvVZ9/6qmnWL58ed3H27Ztw2w263JLK/LRv12WEWktLGYTz47qDcDif+ZSYKswOJGIXE69F6tWVFSQlpbGmDFjSE9Pp7S0FACLxXLJ59u0aUNSUhIvvPACHTp0wOl0MmPGDCZNmkRwcHDz/DTSpI4WlfPN0XOYTfDDgZ2MjiPSILf1ac+Q7pF8nXuWVzcc4KWxA4yOJCKXUO8zIuvWrSMnJ4eFCxcSGhpa95g/f/4ln8/Ly+PBBx9k7NixpKenM2nSJEaOHMlrr73WnD+PNKGVO2vPhnwvIYr2YZq0K62LyWTiuTtrB+Kt2H6Mg6dLDE4kIpfSqMWqLam+i12kabndbr7/yiYOnynj9/cM5MeDuxgdSaRRpi7JZH32KUb2jWHBgzcYHUfEZzTbYlXxDXvybRw+U0agn5k7NGlXWrFnR/XGbIL12afYnldsdBwR+Q8qInJJFxap3t63AyEB9V5KJOJxEtqHMvb8Gb2X1mggnoinURGR73DWuPjbrtpbrO8epEWq0vr9bEQvAqxmvs49y2f7ThsdR0T+jYqIfMc/DxVRWOogso0/N/XUpF1p/TpFBDFpWHcAfrt2HzUunRUR8RQqIvIdq85flkkb0BE/i/6IiHd47JYehAVa2XuypG5sgYgYT+8ycpHyKidrz0/aTdcmZuJFIoL9eeyW2oGcr2zYT2V1jcGJRARUROQ/bMg+RXlVDV0jg7m+a4TRcUSa1OTvdadDWCD55yp4NyPP6DgigoqI/Ie6SbuDNGlXvE+gn4WfjegJwJ8/O4i9strgRCKiIiJ1CksdfHGgEIAxSbpbRrzT2MFd6BHdhuLyahZ+cdjoOCI+T0VE6qzeXUCNy83ALuHER4cYHUekWVgtZmbeUbv1+xtfHuG0vdLgRCK+TUVE6lzYxEyLVMXb3ZEYw6CuEVRU1/DaxgNGxxHxaSoiAsCRwjJ2HjuHxWxitCbtipczmUw8N6r2rMiyr49xpLDM4EQivktFRABYdX7S7o0JUUSHBhicRqT5pcS349be0dS43Ly8fp/RcUR8loqI4Ha7/+1uGZ0NEd/x7Kg+mEy166N2Hz9ndBwRn6QiIuw8do7conKC/CyM7KtJu+I7rusYxt3n10S9tHavwWlEfJOKiLBq5wmgdgFfG03aFR/z89t74W8x88+DRXx54IzRcUR8joqIj6uucfG3XbVFJH2Q7pYR3xMbGcz9Kd0AmLNmLy4NxBNpUSoiPu6rg4UUlVXRro0/NyVEGR1HxBA/uS2BkAAr356w88meAqPjiPgUFREfd2GR6uiBnbBq0q74qMg2/kwbHg/Ay+v2UeV0GZxIxHfonceHlTmcrP/2FFA7W0bElz1yUxxRIQEcPVvOe9uOGh1HxGeoiPiw9dknqaiuIS6qDQO7hBsdR8RQwf5Wnvx+AgCvfXqAMofT4EQivkFFxId9tOP8ItWkTpq0KwKMH9KV7u2CKSyt4o0vjxgdR8QnqIj4qDMlDr46f6viGM2WEQHAz2Lm6ZG9AVjwxSGKSh0GJxLxfioiPupvu07gckNSbATdo9oYHUfEY9zVvyP9O4dTVlXDnzYeNDqOiNdTEfFRK8/Plrlbi1RFLmI2/2sg3l+35nHsbLnBiUS8m4qIDzp0ppTdx21YzCbSBnQ0Oo6Ix7mxZxQ39YyiusbNKxv2Gx1HxKupiPigVef3DhneM4p2IZq0K3IpF86KrNyZT/YJu8FpRLyXioiPcbvdrDw/W0Z7h4hcXr/O4aQN6IjbDb9dp4F4Is1FRcTHfHP0HEfPlhPsb+H2vjFGxxHxaM+M7I3VbOLzfWfYcqjI6DgiXklFxMdc2NJ9VGIHgv01aVfkSrpHteG+IV0BmLN2L263BuKJNDUVER9SXePik926LCPSEDO+n0Cwv4Vdx86xNuuk0XFEvE6DisiqVauIj4/HarUydOhQcnJyAMjKyiI5OZm2bdsyc+bMi/7VcKVj0rK+2H+G4vJqokICGNajndFxRFqF9qGBTLkxDoDfrd+Hs0YD8USaUr2LyKFDh5g8eTJz5swhPz+fbt26MWXKFBwOB6NHj2bw4MFkZmaSnZ3N4sWLAa54TFrehUWqP9SkXZEGeXR4PJFt/Dl8powV248bHUfEq9T73SgnJ4dZs2Yxbtw4YmJieOyxx8jMzGTNmjXYbDZeeeUVevTowaxZs1i0aBHAFY9JyyqprGb9t7WnlbWJmUjDhAb68ZNbawfi/WHDfiqqagxOJOI96r1aMS0t7aKP9+3bR0JCArt27SIlJYXg4GAABgwYQHZ2NsAVj12Ow+HA4fjXfAe7XffvN4V1357C4XQRH92Gfp3DjI4j0upMTOnKm/88wvHiChZ9dZif3NbT6EgiXqFR5+erqqp4+eWXefzxx7Hb7cTFxdUdM5lMWCwWiouLr3jscmbPnk14eHjdIzY2tjER5T+surCle1JnTdoVaYQAq4WnR/YC4JUN+1meeczgRCLeoVFF5MUXXyQkJISpU6ditVoJCLh4d87AwEDKy8uveOxynn/+eWw2W93j2DH9z36tTtkr+efBQgDSNWlXpNHSB3ZmfHIsLjc8+8Fu3vjysNGRRFq9Bm8ksWHDBubNm0dGRgZ+fn5ERkaSlZV10eeUlJTg7+9/xWOXExAQ8J3yItfmwqTdwd3a0rVdsNFxRFots9nE7B/1JyzIjwVfHOY3q3OwVVTz1O29dKZRpJEadEbk8OHDTJw4kblz59K3b18AkpOTycjIqPuc3NxcHA4HkZGRVzwmLefCpF3tHSJy7UwmE8/f2YeZd/QG4E8bD/LLj7/F5dLWBCKNUe8iUlFRQVpaGmPGjCE9PZ3S0lJKS0u56aabsNlsLFmyBIA5c+YwYsQILBYLw4cPv+wxaRkHT5eQlW/HajZxV39N2hVpCiaTiSduTeDXY/phMsGSLXn8fPlOqrXHiEiDmdz13GFs5cqV3H333d95/siRI+zcuZMJEyYQGhpKTU0NmzZtIjExse7rLnesPux2O+Hh4dhsNsLCdLdHQ728bh+vf3aQEde1542Hko2OI+J1Vu3M5+nlu3C63NzWpz1/mXg9gX76x5ZIfd+/611EriY/P5/MzEyGDRtGdHR0vY9djYpI47lcbob/7jOOF1fwp/sGMXpgJ6MjiXiljXtP8di73+BwuhgSF8kbD91AWKCf0bFEDNXiRaS5qIg03rbcs9wzbwshAVa2vTCCIH/9K02kuXx95CyPLN5GicNJv85hvD15CO1CtPBefFd937+1z7cXq5u026+DSohIMxsSF8myqSm0a+NPVr6de+Zv4cS5CqNjiXg8FREvVeV0sXpPAQBjtHeISIvo1zmcFdNT6RQeyOEzZYydu5nDZ0qNjiXi0VREvNSm/Wc4V15N+9AAUjVpV6TFxEeH8MFjw4iPbsMJWyX3zNtCVr7N6FgiHktFxEtduCzzw4GdsJi10ZJIS+oUEcTyaakkdgqjqKyK+xZk8PWRs0bHEvFIKiJeyF5ZzYacU4A2MRMxSlRIAMumpjAkLpISh5MHFm3ls72njY4l4nFURLzQ2qyTVDld9GwfQmIn3WkkYpSwQD+WPDyE2/q0x+F08eiSTD7edcLoWCIeRUXEC124LDNmkCbtihgt0M/C/AcGk57UCafLzZPv7eDdjDyjY4l4DBURL3PSVsmWw0VA7foQETGen8XMH8Yl8UBKN9xueHFlFn/+7CAevo2TSItQEfEyH+/Kx+2GId0jiY3UpF0RT2E2m/if9ERm3JYAwO/W7WPOmr0qI+LzVES8zEc7aq8/pw/S2RART2MymXh6ZG9evOs6AOZ/cZhffLiHGk3uFR+mIuJF9p0sIafAjp9Fk3ZFPNmUm+L57Y8HYDbB+5nHmLHsGxzOGqNjiRhCRcSLrNxZu0j1lt7tiQj2NziNiFzJuORY/jzhevwtZv6+5yRT3s6kvMppdCyRFqci4iVcLjerzt8tc7f2DhFpFe7s35FFk24g2N/ClwcKuf+NrdjKq42OJdKiVES8xLbcs5ywVRIaYOW2Pu2NjiMi9XRTz2jenTKU8CA/vjl6jnsXbOF0SaXRsURajIqIl7hwWebO/h0I9NOkXZHW5PqubXl/WgrRoQHsPVnCPfO2cOxsudGxRFqEiogXcDhrWL37/KRdXZYRaZX6dAjjg+mpxEYGkVdUzth5m9l/qsToWCLNTkXEC3y29wz2SicdwgJJidOkXZHWqlu7NnwwfRi9YkI4ZXcwbv4Wdh47Z3QskWalIuIFLmzpnp7UCbMm7Yq0ajFhgbw/NZWBsRGcK69m4sIMNh8sNDqWSLNREWnlbBXVbDw/0VOXZUS8Q9s2/iydMpTvJbSjrKqGSYu3sf7bk0bHEmkWKiKt3Jo9BVTVuOgdE8p1HTVpV8RbtAmw8uakZO5IjKHK6eKxv37Dh9uPGx1LpMmpiLRyF+6W0dkQEe8TYLXw5wnXM3ZwF2pcbp5esYs3vzpidCyRJqUi0orln6sg4/BZAH6YpNkyIt7IajHz2x8P4JEb4wD4n0+y+cOG/RqWJ15DRaQV+3hn7YC7oXGRdI4IMjiNiDQXs9nEi3ddx9O39wLgj58e4Fd/y8alYXniBVREWrFVO7Wlu4ivMJlMzPh+T371w0QAFm/O5ZkVu3DWuAxOJnJtVERaqZwCO3tPluBvMXOnJu2K+IyHhnXn1XuTsJhN/N+OfKa/+w2V1ZrcK62XikgrdWGR6m192hMe5GdwGhFpSWMGdWb+/YMJsJr5R84pJr+1jVKHJvdK66Qi0grVTtqtXR+iu2VEfNOIvjG8/fAQQgKsbDlcxISFGZwtqzI6lkiDqYi0QhlHijhpryQs0MqtfaKNjiMiBkmJb8eyR1OIbOPP7uM2xs3fQoGtwuhYIg2iItIKXTgbcteAjgRYNWlXxJf17xLO8mmpdAwP5ODpUsbO3cKRwjKjY4nUm4pIK1NZXcPf99RO2k1P0mUZEYGE9iGsmJ5KXFQb8s9VcM+8LWSfsBsdS6ReGlxEioqKiIuLIzc3F4DFixdjMpm+81i8eDEAM2bMuOj5hISEpszvczbuPU2Jw0mn8ECGdI80Oo6IeIgubYNZPi2Vvh3DKCx1MH7BFrbnnTU6lshVNaiIFBYWkpaWVldCACZMmEBxcXHd49ixY0RFRTF8+HAAtm/fzurVq+uO79ixo0l/AF9TN2l3UGdN2hWRi0SHBrBsagrJ3dtir3Qy8Y2tbNp/xuhYIlfUoCIyfvx4xo8ff9Fz/v7+RERE1D2WLFnCj370I+Lj43E6nWRlZTF8+PC646GhoU36A/iSc+VVfLbv/KRdXZYRkUsID/JjycNDuaV3NJXVLqa8vY1Pdp8wOpbIZTWoiCxYsIAnn3zysscrKyv54x//yPPPPw/Anj17cLvdJCUlERQUxKhRozh69OgVv4fD4cBut1/0kFp/33OS6ho313UMo3cHFToRubQgfwsLHriBtAEdqa5xM2PZDpZ9feW/e0WM0qAiEh8ff8XjS5cuJSUlhe7duwOQnZ1NYmIiy5YtIzs7Gz8/P6ZNm3bF15g9ezbh4eF1j9jY2IZE9GoXLsuM0YA7EbkKf6uZP44fxMShXXG74fn/28O8TYeMjiXyHSZ3I0Y4mkwmjhw5Ulc4LhgyZAi/+tWvuPPOOy/5dXl5ecTHx1NcXExYWNglP8fhcOBwOOo+ttvtxMbGYrPZLvs1vuB4cTk3vvQZJhNs/sVtdAzXkDsRuTq3283v1u3jL5/XlpDHbunBs3f0xmTSGjNpXna7nfDw8Ku+f1ub6hsePHiQgwcPMmLEiMt+TkREBC6Xi4KCgsuGCggIICAgoKlieY1V5yftpsa3UwkRkXozmUw8O6oPYUF+zFmzl7mfH8JWUc2v0/th0YJ38QBNto/I8uXLSUtLw8/vX3NPnnrqKZYvX1738bZt2zCbzbrc0kBut/vfLstokaqINNz0m3sw+0f9MZlg6dajPPneDqqcmtwrxmuyMyJr165l8uTJFz2XlJTECy+8QIcOHXA6ncyYMYNJkyYRHBzcVN/WJ2QX2DlwuhR/q5lR/TsYHUdEWqn7hnQlLNCPn72/g092F1DqcDJ34mCC/LVDsxinSc6IVFRUsHXrVlJTUy96/sEHH2Ts2LGkp6czadIkRo4cyWuvvdYU39KnXDgbMuK69oQFatKuiDTeXQM68sZDyQT5Wfh83xkeWLQVW0W10bHEhzVqsWpLqu9iF29V43KTOvtTTpc4WPDAYEYm6oyIiFy77XlnmfzWNuyVTq7rGMaSh4cQHar1edJ06vv+rVkzHi7jcBGnSxxEBPtxS+/2RscRES8xuFsk709LJSokgJwCO+Pmb+F4cbnRscQHqYh4uI/OX5b5Qf+O+Fv1n0tEms51HcNYMT2VzhFBHCks4555Wzh4utToWOJj9M7mwSqra1ibdRKAuwfpbhkRaXpxUW348LFhJLQPocBWybj5W9hz3GZ0LPEhKiIe7B85pyh1OOnSNojBXdsaHUdEvFSH8ECWT0tlYJdwzpZVcd/CDLYcKjI6lvgIFREPVjdpN6mTJu2KSLOKbOPPXx9NITW+HaUOJw+99TX/yD5ldCzxASoiHupsWRWf76sd361NzESkJYQEWHlrcjK3942hyuli2rvb+WjHcaNjiZdTEfFQq/cU4HS5SewURs8YTdoVkZYR6Gdh7sTr+dH1nalxufn5+7t4e3Ou0bHEi6mIeKgLl2W0SFVEWprVYublsQOZNKw7AL/8+Fv+9OkBPHzbKWmlVEQ80NGicrbnFWM2weiBnYyOIyI+yGw28cvRffnZiJ4A/H7Dfn6zOgeXS2VEmpaKiAdatbP2bMiwHlHEhAUanEZEfJXJZOJnI3rx/6X1BWDRV0d49sPdOGs0LE+ajoqIh3G73aw8X0TG6LKMiHiAh2+M4/f3DMRiNvHB9uM8sfQbKqtrjI4lXkJFxMNk5ds5dKaMAKuZOxJjjI4jIgLAjwd3Ye7E6/G3mln37SkeeXsbpQ6n0bHEC6iIeJgLW7rf3jeGUE3aFREPMjKxA4snJ9PG38I/DxYx8Y2tnCuvMjqWtHIqIh7EWePib7tPALpbRkQ807AeUSx9NIWIYD92HTvHuPlbOGWvNDqWtGIqIh5k86EizpQ4aBvsx/Be0UbHERG5pIGxEayYlkpMWAD7T5Uydt5m8orKjI4lrZSKiAe5sEg1bUAn/Cz6TyMinqtnTCgfTB9Gt3bBHDtbwdh5W9h70m50LGmF9G7nIcqrnKw7P2l3zCDtHSIini82MpgV01Pp0yGUMyUO7p2fwTdHi42OJa2MioiH2JB9irKqGmIjg7hek3ZFpJVoHxrI+1NTGdytLbaKaiYu3MqXB84YHUtaERURD7Fq5/lFqkmdMZk0aVdEWo/wYD/eeWQIw3tFU1Fdw8OLt7FmT4HRsaSVUBHxAEWlDjbtr/0XRLrulhGRVijY38obD97AXf07Ul3j5oml37B82zGjY0kroCLiAVbvKaDG5WZAl3B6RIcYHUdEpFH8rWZeu28Q45Njcbnh2Q9388aXh42OJR5ORcQDXNjEbEySzoaISOtmMZuY/aP+TBseD8BvVufw8rp9mtwrl6UiYrDcwjJ2HD2H2QRpAzsaHUdE5JqZTCae/8F1PDuqNwCvf3aQ/2/Vt5rcK5ekImKwC4tUb+wZTftQTdoVEe/x+C0J/O/d/TCZ4J2MPH6+fCfVmtwr/0FFxEAXTdpN0t4hIuJ9Jg7txmvjB2E1m1i18wTT3tlORZUm98q/qIgYaPdxG0cKywjys3BHYgej44iINIvRAzux8KEbCPQzs3HvaR5682vsldVGxxIPoSJioAuLVEcmxtAmwGpwGhGR5nNr7/a888hQQgOsfJ17lgkLMygqdRgdSzyAiohBnDUuPjk/aVd3y4iIL0juHsmyqSm0a+NPVr6de+ZvIf9chdGxxGAqIgb56mAhhaVVtGvjz409o4yOIyLSIvp1DmfF9FQ6RwRx+EwZ98zdzKEzpUbHEgOpiBhk5Y4Lk3Y7atKuiPiU+OgQVkxPpUd0G07YKhk3bwtZ+TajY4lB9A5ogDKHk3XfngJgjLZ0FxEf1CkiiOXTUunfOZyisiruW5DB1sNFRscSAzS4iBQVFREXF0dubm7dczNmzMBkMtU9EhIS6o5lZWWRnJxM27ZtmTlzpnbXo3bSbkV1Dd3bBZMUG2F0HBERQ7QLCWDpo0MZGhdJicPJg29+zWd7TxsdS1pYg4pIYWEhaWlpF5UQgO3bt7N69WqKi4spLi5mx44dADgcDkaPHs3gwYPJzMwkOzubxYsXN1X2VuvC3TLpmrQrIj4uNNCPtx8ewvf7tMfhdPHokkxWnd9fSXxDg4rI+PHjGT9+/EXPOZ1OsrKyGD58OBEREURERBAaGgrAmjVrsNlsvPLKK/To0YNZs2axaNGipkvfCp0pcfDVwUJAl2VERAAC/SzMe2AwY5I64XS5+dn7O3knI8/oWNJCGlREFixYwJNPPnnRc3v27MHtdpOUlERQUBCjRo3i6NGjAOzatYuUlBSCg4MBGDBgANnZ2Vf8Hg6HA7vdftHDm3yy+wQ1LjcDYyOIi2pjdBwREY/gZzHzyrgkHkzthtsN/70yiz9/dlCX831Ag4pIfHz8d57Lzs4mMTGRZcuWkZ2djZ+fH9OmTQPAbrcTFxdX97kmkwmLxUJxcfFlv8fs2bMJDw+ve8TGxjYkose7cLfM3drSXUTkImaziV/9MJGf3la7zvB36/Yxe81elREvd813zUycOJGMjAySk5OJi4vj9ddfZ/369djtdqxWKwEBARd9fmBgIOXl5Zd9veeffx6bzVb3OHbs2LVG9BiHz5Sy67gNi9lE2kAVERGR/2QymXhqZG9evOs6ABZ8cZhffLiHGk3u9VpNvq94REQELpeLgoICIiMjycrKuuh4SUkJ/v7+l/36gICA75QXb7Hy/KTdm3pGERXinT+jiEhTmHJTPGFBfvziw928n3kMe2U1r45PIsBqMTqaNLFrPiPy1FNPsXz58rqPt23bhtlsJjY2luTkZDIyMuqO5ebm4nA4iIyMvNZv2+q43e66leB3a5GqiMhVjbshlr9MHIy/xcyarJNMeTuT8iqn0bGkiV1zEUlKSuKFF17giy++YOPGjcyYMYNJkyYRHBzM8OHDsdlsLFmyBIA5c+YwYsQILBbfa7Q7jp0jr6icYH8Lt/eNMTqOiEirMKpfB96clEywv4UvDxRy/xtbsZVrcq83ueZLMw8++CA5OTmkp6cTGhrK3XffzaxZs2pf3GplwYIFTJgwgZkzZ1JTU8OmTZuuOXRrdGGR6h2JHQj216RdEZH6urFnFH+dMpRJb23jm6PnuHfBFpY8PIT2YYFGR5MmYHK3wHLk/Px8MjMzGTZsGNHR0Q36WrvdTnh4ODabjbCwsGZK2Lyqa1wMnfUpZ8uqePvhIdzcq2G/AxERgX0nS3hg0VZOlzjo1i6Ydx8ZSmxksNGx5DLq+/7dIrNmOnfuTHp6eoNLiLf48sAZzpZVERXiz/d6tDM6johIq9S7QygfTB9G18hg8orK+fHczew/VWJ0LLlGGnrXAlbuqL1bZvTATlg1aVdEpNG6tgvmg+mp9I4J5XSJg3Hzt7Dz2DmjY8k10LtiMyt1OFmffRLQ3TIiIk2hfVgg709LYVDXCM6VVzNxYQabz4/OkNZHRaSZrcs6SWW1i/ioNvTvHG50HBERrxAR7M+7jwzlxoQoyqpqmPTWNtZ9e9LoWNIIKiLNbOX5vUPGDNKkXRGRptQmwMqiSTcwKrEDVTUuHnt3Ox9sP250LGkgFZFmdNpeyT/Pny5M12wZEZEmF2C18PqEQdwzuAsuNzyzYhdvfnXE6FjSACoizejjXSdwueH6rhF0a6dJuyIizcFqMfPbsQOYcmPtkNX/+SSbVzbs17C8VkJFpBmtOj9bRotURUSal8lk4oW7ruOZkb0AeO3TA/zqb9m4NCzP46mINJODp0vZk2/DajZx1wBdlhERaW4mk4mf3NaTX6cnYjLB4s25PLNiF9U1LqOjyRWoiDSTCwPubu4VTWSby08bFhGRpvVAandevTcJi9nE/+3I57F3v6GyusboWHIZKiLNwO1289H52TLpuiwjItLi0pM6s+CBwQRYzfwj5xST3vqakkoNy/NEKiLNYHteMceLK2jjb+H26zRpV0TECN+/Loa3Hx5CSICVjMNnmfjGVs6WVRkdS/6DikgzuLB3yKh+HQnytxicRkTEd6XEt+O9qSlEtvFn93Eb98zbTIGtwuhY8m9URJpYldPFJ7sLABgzSItURUSM1q9zOMunpdIpPJBDZ8oYO3cLRwrLjI4l56mINLEv9p/hXHk10aEBDOsRZXQcEREBEtqHsOKxYcRHtSH/XAX3zNtM9gm70bEEFZEm99H5yzLpAzthMWtLdxERT9E5Iojl01NJ7BRGYWkV9y7YQmbuWaNj+TwVkSZUUlnNP7JPAbWzZURExLNEhQSwbGoKyd3bUlLp5P5FW/l832mjY/k0FZEmtDbrJA6ni4T2ISR2CjM6joiIXEJYoB9LHh7KLb2jqax28eiSTP6264TRsXyWikgTqpu0m9RJk3ZFRDxYkL+FBQ/cwOiBnaiucfPT93awdOtRo2P5JBWRJnLKXsnmQ0VA7UY6IiLi2fytZl69N4mJQ7vidsN/fbSHuZ8fMjqWz1ERaSIf7zyB2w3J3dsSGxlsdBwREakHi9nEb8b044lbewDw0tq9zFmzV5N7W5CKSBOp29JdZ0NERFoVk8nEzDv68F8/6APAvE2H+K+PsqjR5N4WoSLSBPafKiG7wI6fxcRd/TsaHUdERBph6vAevPTj/phNsOzro/z0vR1UOTW5t7mpiDSBlTsuTNptT1tN2hURabXuTe7K6xOux89iYvXuAh5dkklFlSb3NicVkWvkcrlZtbP2tq+7tXeIiEir94P+HVn0UDJBfhY27T/DA4u2YqvQ5N7moiJyjTLzisk/V0FogJXvX9fe6DgiItIEhveK5t0pQwkLtJKZV8z4BRmcKXEYHcsrqYhcowuLVEf160Cgnybtioh4i8Hd2vL+tFSiQgLIKbBzz7zNHC8uNzqW11ERuQYOZw1/31M7aVeXZUREvM91HcP4YHoqXdoGkVtUzti5Wzh4usToWF5FReQafL7vDLaKamLCAhga387oOCIi0gy6R7Xhg+nD6Nk+hJP2Su6Zt4Xdx88ZHctrqIhcg5X/tneIJu2KiHivDuGBLJ+WysAu4RSXV3Pfggy2nN9NW66Nikgj2Sqq+XRv7cTGMdrETETE67Vt489fH01hWI92lFXV8NBbX7Ph/MR1abwGF5GioiLi4uLIzc2te27VqlXEx8djtVoZOnQoOTk5dcdmzJiByWSqeyQkJDRJcKOtzSqgyumiV0wI13UMNTqOiIi0gJAAK29OSmZk3xiqnC6mv7ud//vmuNGxWrUGFZHCwkLS0tIuKiGHDh1i8uTJzJkzh/z8fLp168aUKVPqjm/fvp3Vq1dTXFxMcXExO3bsaLLwRlq5o3bvkDGDOmvSroiIDwn0s/CXidfz4+u7UONy89TyXSz+5xGjY7VaDSoi48ePZ/z48Rc9l5OTw6xZsxg3bhwxMTE89thjZGZmAuB0OsnKymL48OFEREQQERFBaGjrP3tw4lwFGUc0aVdExFdZLWZ+N3YAk7/XHYD/97dsXvv0gIblNUKDisiCBQt48sknL3ouLS2N6dOn1328b9++ussve/bswe12k5SURFBQEKNGjeLo0aNX/B4OhwO73X7Rw9N8vKt20u6QuEg6RwQZHUdERAxgNpv4/9L68vMRvQB4ZcN+fv1JDi4Ny2uQBhWR+Pj4Kx6vqqri5Zdf5vHHHwcgOzubxMREli1bRnZ2Nn5+fkybNu2KrzF79mzCw8PrHrGxsQ2J2CIu3C2jvUNERHybyWTiyRE9+eXovgC8+c8jPPvhbpw1GpZXXyZ3I84jmUwmjhw5Qvfu3S96/tlnn2X9+vVs27YNPz+/73xdXl4e8fHxFBcXExYWdsnXdjgcOBz/2kbXbrcTGxuLzWa77Ne0pL0n7Yx69Uv8LWa2vTCC8ODv/pwiIuJ7/u+b48z8YDc1Ljcj+8bw2n2DfHrHbbvdTnh4+FXfv5vs9t0NGzYwb948li5deskSAhAREYHL5aKgoOCyrxMQEEBYWNhFD09yYZHqrX2iVUJERKTOj67vwrz7B+NvNbM++xQPL95GqcNpdCyP1yRF5PDhw0ycOJG5c+fSt2/fuuefeuopli9fXvfxtm3bMJvNHnm5pT5qJ+3qsoyIiFza7X1jWDw5mTb+FjYfKmLiwgyKy6qMjuXRrrmIVFRUkJaWxpgxY0hPT6e0tJTS0tK6RaovvPACX3zxBRs3bmTGjBlMmjSJ4ODgpsje4rYeOUuBrZLQQCu39NakXRER+a5hPaJYNjWFtsF+7DpuY9z8LZy0VRody2NdcxFZt24dOTk5LFy4kNDQ0LpHXl4eDz74IGPHjiU9PZ1JkyYxcuRIXnvttabIbYgLZ0Pu6t/Rp6/7iYjIlQ3oEsGK6al0CAvkwOlSxs7bTF5RmdGxPFKjFqu2pPoudmluldU1JP/vPyipdLLs0RRSe2jInYiIXNmxs+U8sGgruUXlRIcGsOThIVzX0bPWPjaXFl+s6u0+23uakkonHcMDGRoXaXQcERFpBWIjg1k+PZU+HUI5U+Lg3vlb2J5XbHQsj6IiUk8rd/5r0q5Zk3ZFRKSe2ocG8v60VAZ3a4u90sn9b2zli/1njI7lMVRE6sFWXs1ne2v/0IwZ1MngNCIi0tqEB/nxziNDuLlXNBXVNTzy9jb+vufyW1n4EhWRevh7VgFVNS76dAilTwffuLYnIiJNK9jfysIHb+CuAR2prnHzk6Xf8P62K4898QUqIvXw0fkt3cdo7xAREbkG/lYzr40fxH1DuuJyw3Mf7mHhF4eNjmUoFZGrOF5cztdHzmIywQ8H6rKMiIhcG4vZxKy7+zH95h4A/O/fc/jdur0+O7lXReQqPt5Vu6V7Slw7OmnSroiINAGTycQv7uzDc6P6APDnzw7x36uyfHJyr4rIFbjd7rpJu1qkKiIiTe2xW3ow6+7+mEzwbsZRfvb+Tqp9bHKvisgV5BSUsP9UKf5WM6P6dTQ6joiIeKEJQ7vy2vhB+FlMfLzrBFOXZFJRVWN0rBajInIFF/YOGXFde8KDNGlXRESax+iBnVj44A0E+pn5bN8ZHnrza+yV1UbHahEqIpdR82+TdtOTdLeMiIg0r1t6t+fdR4YSGmjl69yz3Lcgg8JSh9Gxmp2KyGVsPVzEKbuD8CA/bukdbXQcERHxATd0j+S9qSlEhfjz7Qk74+ZtIf9chdGxmpWKyGVc2DvkB/07EmDVpF0REWkZiZ3CWT4tlc4RQRwuLOOeuZs5dKbU6FjNRkXkEiqra1ibdRKAu7WJmYiItLD46BA+eCyVHtFtOGGr5J55W8jKtxkdq1moiFzCpzmnKXE46RwRxA3d2hodR0REfFDH8CBWTB9G/87hnC2rYvyCDLYeLjI6VpNTEbmEC5dl0pM6adKuiIgYJrKNP0sfHcrQuEhKHU4efPNrNu49ZXSsJqUi8h+Ky6rYtP80oMsyIiJivNBAP95+eAgjrmuPw+li6pLtdXd1egMVkf+wek8B1TVu+nYMo2dMqNFxRERECPSzMPf+wdw9qDNOl5ufvb+TdzLyjI7VJFRE/sOFlqmzISIi4kn8LGZ+f89AHkrthtsN/70yi9c3Hmj1w/JURP7NsbPlbMstrp20m6TZMiIi4lnMZhP/74eJ/PT7PQF4ef1+Zv09p1WXERWRf3PhbMiwHu2ICQs0OI2IiMh3mUwmnrq9F/+d1heAhV8e4bkPd+NspcPyVETOc7vddXfLjNGW7iIi4uEeuTGO340dgNkEyzOP85OlO3A4W9+wPBWR8749YefQmTICrGZG9etgdBwREZGruueGWObePxh/i5m1355kytuZlDmcRsdqEBWR8y6cDRnRN4bQQE3aFRGR1uGOxA68NTmZYH8LXx4o5P5FWzlXXmV0rHpTEaF20u7Hu04AcLcuy4iISCvzvYQolj6aQkSwHzuOnuPe+RmctlcaHateVESAzYcKOVPiICLYj+G9NGlXRERan6TYCN6fmkr70AD2nSph7LwtHC0qNzrWVamIACt31J4NSRvQEX+rfiUiItI69e4QyoePDaNrZDBHz5Yzdt5m9p0sMTrWFfn8u25FVQ1rswoAbWImIiKtX2xkMB9MT6VPh1BOlzgYN38LO44WGx3rsny+iGzIOUVZVQ2xkUFc31WTdkVEpPVrHxbIe1NTGNQ1AltFNRPf2Mo/DxYaHeuSfL6IrPq3vUNMJk3aFRER7xAR7M9fpwzlpp5RlFfVMPmtbazNOml0rO/w6SJytqyKTfvPAJCuu2VERMTLBPtbeeOhG7izXweqalw8/tftrMg8ZnSsizS4iBQVFREXF0dubm7dc1lZWSQnJ9O2bVtmzpx50Z73VzpmtNW7T+B0uenfOZyE9iFGxxEREWlyAVYLf7pvEONu6ILLDTM/2M2ir44YHatOg4pIYWEhaWlpF5UQh8PB6NGjGTx4MJmZmWRnZ7N48eKrHvMEdVu6a5GqiIh4MavFzEs/HsCjN8UB8OtPsnll/T6PODnQoCIyfvx4xo8ff9Fza9aswWaz8corr9CjRw9mzZrFokWLrnrMaHlFZXxz9BxmE4we2NHoOCIiIs3KZDLxXz+4jpl39AbgtY0H+X8ff4vLZWwZaVARWbBgAU8++eRFz+3atYuUlBSCg4MBGDBgANnZ2Vc9djkOhwO73X7Rozms2lm7d8j3EqJoH6pJuyIi4v1MJhNP3JrAr8f0w2SCt7fk8fSKXVQbOLm3QUUkPj7+O8/Z7Xbi4uLqPjaZTFgsFoqLi6947HJmz55NeHh43SM2NrYhEevF7XazUpN2RUTERz2Q0o1X703Cajbx0Y58VmQeNyzLNd81Y7VaCQgIuOi5wMBAysvLr3jscp5//nlsNlvd49ixpl/d63bDL+7sw+iBnbhDk3ZFRMQHpSd1ZsGDg7n3hljGJzf9P/rry3qtLxAZGUlWVtZFz5WUlODv73/FY5cTEBDwnfLS1MxmEyMTOzAyUSVERER81219YritT4yhGa75jEhycjIZGRl1H+fm5uJwOIiMjLziMREREZFrLiLDhw/HZrOxZMkSAObMmcOIESOwWCxXPCYiIiJyzZdmrFYrCxYsYMKECcycOZOamho2bdp01WMiIiIiJncT7WaSn59PZmYmw4YNIzo6ut7HrsZutxMeHo7NZiMsLKwpooqIiEgzq+/79zWfEbmgc+fOdO586Vthr3RMREREfJdPD70TERERY6mIiIiIiGFURERERMQwKiIiIiJiGBURERERMYyKiIiIiBhGRUREREQMoyIiIiIihmmyDc2ay4WNX+12u8FJREREpL4uvG9fbQN3jy8iJSUlAMTGxhqcRERERBqqpKSE8PDwyx5vslkzzcXlcnHixAlCQ0MxmUxN9rp2u53Y2FiOHTumGTbNSL/nlqPfdcvQ77ll6PfcMprz9+x2uykpKaFTp06YzZdfCeLxZ0TMZjNdunRpttcPCwvTH/IWoN9zy9HvumXo99wy9HtuGc31e77SmZALtFhVREREDKMiIiIiIobx2SISEBDAL3/5SwICAoyO4tX0e245+l23DP2eW4Z+zy3DE37PHr9YVURERLyXz54REREREeOpiIiIiIhhVERERBqgqKiIzZs3U1hYaHQUEa+gIiLNqqioiLi4OHJzc42O4tVWrVpFfHw8VquVoUOHkpOTY3Qkr/Tee++RkJDAE088QdeuXXnvvfeMjuT1Ro0axeLFi42O4ZVmzJiByWSqeyQkJBiSwyeLSFZWFsnJybRt25aZM2dedR98aZzCwkLS0tJUQprZoUOHmDx5MnPmzCE/P59u3boxZcoUo2N5nXPnzjFjxgy+/PJLduzYwfz583nuueeMjuXV/vrXv7Ju3TqjY3it7du3s3r1aoqLiykuLmbHjh2G5PC5IuJwOBg9ejSDBw8mMzOT7Oxste1mMn78eMaPH290DK+Xk5PDrFmzGDduHDExMTz22GNkZmYaHcvrlJSU8Oqrr9KvXz8ABg4cSHFxscGpvNfZs2d5+umn6d27t9FRvJLT6SQrK4vhw4cTERFBREQEoaGhhmTxudt3V65cycMPP8zx48cJDg5m165dPPHEE3z11VdGR/M6hw8fJj4+HpPJxJEjR+jevbvRkXzCvHnz+NOf/sS3335rdBSvVV1dzSOPPILZbNY/ZJrJ5MmTCQwMpKKigltuuYVJkyYZHcmr7Nixg+HDhxMTE0N+fj4333wzCxYsoGvXri2exefOiOzatYuUlBSCg4MBGDBgANnZ2Qan8k7x8fFGR/A5VVVVvPzyyzz++ONGR/Fau3btIiYmhvXr1/Pqq68aHccrffbZZ3z66ae89NJLRkfxWtnZ2SQmJrJs2TKys7Px8/Nj2rRphmTxuSJit9uJi4ur+9hkMmGxWHSKVbzCiy++SEhICFOnTjU6itcaMGAAn376KYmJiUyePNnoOF6nsrKSadOmMXfuXA27a0YTJ04kIyOD5ORk4uLieP3111m/fj12u73Fs3j89N2mZrVav7OVbWBgIOXl5bRt29agVCLXbsOGDcybN4+MjAz8/PyMjuO1TCYTgwYNYvHixXTr1o3i4mL93dGEfv3rX5OcnMxdd91ldBSfEhERgcvloqCgoMULoM+dEYmMjOTMmTMXPVdSUoK/v79BiUSu3eHDh5k4cSJz586lb9++RsfxShs3bmTmzJl1H1uttf+OM5t97q/RZrV06VJWrVpVt4By6dKlPP7447rc2MSeeuopli9fXvfxtm3bMJvNxMbGtngWnzsjkpyczBtvvFH3cW5uLg6Hg8jISANTiTReRUUFaWlpjBkzhvT0dEpLSwFo06YNJpPJ4HTeo0+fPowZM4aePXty55138uKLLzJy5EjCw8ONjuZVvvzyS5xOZ93HzzzzDCkpKVqs2sSSkpJ44YUX6NChA06nkxkzZjBp0qS69ZMtyeeq/PDhw7HZbCxZsgSAOXPmMGLECCwWi8HJRBpn3bp15OTksHDhQkJDQ+seeXl5RkfzKp06dWLFihW8+uqrJCYmUl5ezjvvvGN0LK/TpUsXunfvXvcICQkhKiqKqKgoo6N5lQcffJCxY8eSnp7OpEmTGDlyJK+99pohWXzu9l2ovYV3woQJhIaGUlNTw6ZNm0hMTDQ6loiIiM/xySICkJ+fT2ZmJsOGDSM6OtroOCIiIj7JZ4uIiIiIGM/n1oiIiIiI51AREREREcOoiIiIiIhhVERERETEMCoiIiIiYhgVERERETGMioiIiIgYRkVEREREDKMiIiIiIob5/wERW8gSJryu4wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = pd.Series([100, 250, 300, 200, 150, 100])\n",
    "s.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7060f78",
   "metadata": {},
   "source": [
    "#### 正弦曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bbe02e87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sin\n",
    "x = np.arange(0, 2 * np.pi, 0.1)\n",
    "y = np.sin(x)\n",
    "\n",
    "s = pd.Series(data=y, index=x)\n",
    "s.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a24c7511",
   "metadata": {},
   "source": [
    "#### DataFrame折线图\n",
    "- 图例的位置可能会随着数据的不同而不同"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c0c99aa7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Jeff</th>\n",
       "      <th>Jack</th>\n",
       "      <th>Rose</th>\n",
       "      <th>Lucy</th>\n",
       "      <th>Lily</th>\n",
       "      <th>Bob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1st</th>\n",
       "      <td>53</td>\n",
       "      <td>77</td>\n",
       "      <td>51</td>\n",
       "      <td>55</td>\n",
       "      <td>89</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2nd</th>\n",
       "      <td>74</td>\n",
       "      <td>62</td>\n",
       "      <td>53</td>\n",
       "      <td>90</td>\n",
       "      <td>65</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3rd</th>\n",
       "      <td>53</td>\n",
       "      <td>55</td>\n",
       "      <td>61</td>\n",
       "      <td>96</td>\n",
       "      <td>50</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4th</th>\n",
       "      <td>97</td>\n",
       "      <td>68</td>\n",
       "      <td>77</td>\n",
       "      <td>96</td>\n",
       "      <td>86</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5th</th>\n",
       "      <td>72</td>\n",
       "      <td>67</td>\n",
       "      <td>84</td>\n",
       "      <td>87</td>\n",
       "      <td>61</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Jeff  Jack  Rose  Lucy  Lily  Bob\n",
       "1st    53    77    51    55    89   54\n",
       "2nd    74    62    53    90    65   99\n",
       "3rd    53    55    61    96    50   71\n",
       "4th    97    68    77    96    86   90\n",
       "5th    72    67    84    87    61   51"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.random.randint(50, 100, size=(5, 6))\n",
    "index = ['1st', '2nd', '3rd', '4th', '5th']\n",
    "columns = ['Jeff', 'Jack', 'Rose', 'Lucy', 'Lily', 'Bob']\n",
    "\n",
    "df = pd.DataFrame(data=data, index=index, columns=columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6d575470",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "60eb4da0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 每行一根线\n",
    "# 转置后再作图\n",
    "df.T.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11cf01da",
   "metadata": {},
   "source": [
    "### 条形图和柱状图\n",
    "Series柱状图示例，kind = 'bar/barh'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e3b51432",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.764517</td>\n",
       "      <td>0.711458</td>\n",
       "      <td>0.215453</td>\n",
       "      <td>0.830250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.331658</td>\n",
       "      <td>0.560059</td>\n",
       "      <td>0.302067</td>\n",
       "      <td>0.142115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.081334</td>\n",
       "      <td>0.122224</td>\n",
       "      <td>0.484122</td>\n",
       "      <td>0.711629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.437928</td>\n",
       "      <td>0.537282</td>\n",
       "      <td>0.266424</td>\n",
       "      <td>0.398902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.514500</td>\n",
       "      <td>0.861798</td>\n",
       "      <td>0.173996</td>\n",
       "      <td>0.849069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.590292</td>\n",
       "      <td>0.490014</td>\n",
       "      <td>0.503724</td>\n",
       "      <td>0.730534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.886857</td>\n",
       "      <td>0.577492</td>\n",
       "      <td>0.372534</td>\n",
       "      <td>0.127759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.304914</td>\n",
       "      <td>0.492502</td>\n",
       "      <td>0.807244</td>\n",
       "      <td>0.190610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.703544</td>\n",
       "      <td>0.652940</td>\n",
       "      <td>0.703727</td>\n",
       "      <td>0.835692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.558995</td>\n",
       "      <td>0.164703</td>\n",
       "      <td>0.676240</td>\n",
       "      <td>0.552175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3\n",
       "0  0.764517  0.711458  0.215453  0.830250\n",
       "1  0.331658  0.560059  0.302067  0.142115\n",
       "2  0.081334  0.122224  0.484122  0.711629\n",
       "3  0.437928  0.537282  0.266424  0.398902\n",
       "4  0.514500  0.861798  0.173996  0.849069\n",
       "5  0.590292  0.490014  0.503724  0.730534\n",
       "6  0.886857  0.577492  0.372534  0.127759\n",
       "7  0.304914  0.492502  0.807244  0.190610\n",
       "8  0.703544  0.652940  0.703727  0.835692\n",
       "9  0.558995  0.164703  0.676240  0.552175"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据源为DataFrame\n",
    "df = pd.DataFrame(data=np.random.rand(10, 4))\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6f4e413b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IzWZTaGhovbawsDDV1tY22aewsFC9e/fWJ598ogULFmjTpk3avHmzPvnkkyb7LFy4UFFRUe4tPj7e0xIBAEAH43EQsdvtOn78eL22mpoade3atck+hw4d0m233eYOMBEREUpOTtb+/fub7JOTkyOHw+HeqqqqPC0RAAB0MB4HkdTUVG3bts29X1lZKZfLJbvd3mSf+Ph4nTt3zr3//fff69ChQ+rfv3+TfUJDQxUZGVlvAwAAgcnjIJKeni6Hw6GioiJJUl5ensaOHauQkBA5nU5dvHixQZ8777xTH374od577z0dOnRIOTk5crlcGjVqVPvNAAAAdFitukekoKBAM2bMUO/evbV27Vrl5eVJuvwEzbp1Dd9RMHDgQL377rt6+eWXlZycrHXr1umDDz5QRERE+80AAAB0WK366F1mZqb27NmjkpISpaWlKTY2VtLlyzRNycjIUEYGL0sCAAANtfrru3FxcYqLi/NGLQAAoJPho3cAAMAYgggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMIYgAgAAjCGIAAAAYwgiAADAGIIIAAAwhiACAACMIYgAAABjCCIAAMAYgggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMMZmugAAfuCFqMbbE6/xbR0AOh1WRAAAgDGsiAA+VDEopcljKbsqfFgJAPgHVkQAAIAxBBEAAGAMQQQAABhDEAEAAMYQRAAAgDEEEQAAYAxBBAAAGEMQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMbYTBcAAOg8hiwf0mj7Gh/XAf/BiggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMIanZgCgA+BpEwQqVkQAAIAxBBEAAGAMl2bQYVQMSmm0PWVXhY8rAQC0F1ZEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMYQRAAAgDEEEQAAYAxBBAAAGEMQAQAAxrQqiJSVlSk1NVUxMTHKzs6WZVke97148aKGDBmiTZs2tbZGAAAQoDwOIi6XSxMnTtSwYcNUUlKi8vJyFRYWejzQK6+8orKysrbUCAAAApTHQaS4uFgOh0P5+fkaMGCAcnNztXTpUo/67tmzR4sWLVJCQkJb6wQAAAHI4yBSWlqqESNGKDw8XJI0dOhQlZeXe9T30Ucf1fz589W/f/8Wz3W5XHI6nfU2AAAQmDwOIk6nU4mJie79oKAghYSE6NSpU832e/vtt+VwODR37lyPxlm4cKGioqLcW3x8vKclAgCADsbm8Yk2m0JDQ+u1hYWFqba2VjExMY32OX78uHJycvTRRx/JZvNsqJycHM2ZM8e973Q6CSMAAK9JmL+u0fbKvAwfV9I5eRxE7HZ7g5tNa2pq1LVr1yb7zJ49Ww899JBuvPFGjwsKDQ1tEHgAAEBg8vjSTGpqqrZt2+ber6yslMvlkt1ub7LPypUr9Ze//EXR0dGKjo7W1q1bNWHCBOXl5V1Z1QAAICB4vCKSnp4uh8OhoqIiTZs2TXl5eRo7dqxCQkLkdDrVrVs3denSpV6f/fv319vPysrS7Nmzdfvtt7dP9e1kyPIhTR7bef9OH1YCAEDn0qp7RAoKCjR16lRlZ2errq5OmzdvlnT5CZrFixcrMzOzXp+fPq4bFhamq6++WtHR0VdaNwAACAAeBxFJyszM1J49e1RSUqK0tDTFxsZKunyZxhO8VRUAAPxYq4KIJMXFxSkuLs4btQAAgE6Gj94BAABjCCIAAMAYgggAADCGIAIAAIxp9c2q8F9NvQ9ljY/rAADAU6yIAAAAYwgiAADAGIIIAAAwhiACAACM4WbVjuiFqMbbE6/xbR0AAFwhggiAVqsYlNJoe8quCh9XAqCj49IMAAAwhhURAAA6uIT565o8Vhnmw0LagBURAABgDEEEAAAYw6UZAIGBp8mADokVEQAAYAxBBAAAGEMQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMYQRAAAgDEEEQAAYAxBBAAAGEMQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMYQRAAAgDEEEQAAYAxBBAAAGEMQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMYQRAAAgDEEEQAAYAxBBAAAGEMQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGtCqIlJWVKTU1VTExMcrOzpZlWS32KSgoUJ8+fdSlSxeNGzdO3333XZuLBQAAgcXjIOJyuTRx4kQNGzZMJSUlKi8vV2FhYbN9tm7dqueee04rVqzQ/v37df78ec2bN+9KawYAAAHC4yBSXFwsh8Oh/Px8DRgwQLm5uVq6dGmzfXbv3q3XX39dY8eOVb9+/TR9+nSVlJRccdEAACAw2Dw9sbS0VCNGjFB4eLgkaejQoSovL2+2z0MPPVRvf/fu3UpKSmq2j8vlksvlcu87nU5PSwQAAB2MxysiTqdTiYmJ7v2goCCFhITo1KlTHvWvrq7WkiVLNGvWrGbPW7hwoaKiotxbfHy8pyUCAIAOxuMgYrPZFBoaWq8tLCxMtbW1HvWfNWuW0tLSlJGR0ex5OTk5cjgc7q2qqsrTEgEAQAfj8aUZu92usrKyem01NTXq2rVri32XLVumLVu2aMeOHS2eGxoa2iDwAACAwOTxikhqaqq2bdvm3q+srJTL5ZLdbm+235dffqnZs2dr9erV6t27d9srBQAAAcfjIJKeni6Hw6GioiJJUl5ensaOHauQkBA5nU5dvHixQZ+jR49q4sSJeuaZZzRs2DCdOXNGZ86cab/qAQBAh9aqe0QKCgo0Y8YM9e7dW2vXrlVeXp6ky0/QrFu3rkGfVatW6dixY1qwYIEiIiLcGwAAgNSKe0QkKTMzU3v27FFJSYnS0tIUGxsr6fJlmsbMnj1bs2fPvtIaAQBAgGpVEJGkuLg4xcXFeaMWAADQyfDROwAAYAxBBAAAGEMQAQAAxhBEAACAMa2+WRUAgE7hhajG2xOv8W0dAY4VEQAAYAxBBAAAGMOlGQDwJx3ockDC/IZv1JakyjAfF4IOjRURAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGAMQQQAABhDEAEAAMbwHhH4nSHLhzTavsbHdQAAvI8VEQAAYAxBBAAAGEMQAQAAxnCPCAAAnZC/3I/HiggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMIYgAgAAjCGIAAAAYwgiAADAGIIIAAAwhiACAACMIYgAAABjCCIAAMAYgggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMIYgAgAAjCGIAAAAYwgiAADAGIIIAAAwhiACAACMIYgAAABjCCIAAMAYgggAADDGZroAf1cxKKXR9pRdFT6uBACAwMOKCAAAMIYgAgAAjCGIAAAAYwgiAADAGIIIAAAwhiACAACMIYgAAABjCCIAAMAYgggAADCGIAIAAIwhiAAAAGMIIgAAwBiCCAAAMKZVQaSsrEypqamKiYlRdna2LMtqsc/mzZuVkpKiXr16KT8/v82FAgCAwONxEHG5XJo4caKGDRumkpISlZeXq7CwsNk+x48f16RJk3T33Xfriy++0DvvvKONGzdeac0AACBAeBxEiouL5XA4lJ+frwEDBig3N1dLly5tts8777yjPn366LnnnlNycrKef/75FvsAAIDOw+bpiaWlpRoxYoTCw8MlSUOHDlV5eXmLfcaMGaOgoCBJ0vDhw5WTk9NsH5fLJZfL5d53OBySJKfT6Wmp+t5V22i7M6jxS0l15+qa/Fln6ho/1pp62qq95uGXc8iJbLJPXf9+jbb75Tza6b+F5P15NDUHKUD+TPH7Xf/n+OEcpMCYB7/fnvnh/BZv47A8NGfOHGvWrFn12nr16mWdPHmyyT5TpkyxXnnlFff+mTNnrMjIyGbH+eMf/2hJYmNjY2NjYwuAraqqqtm/9z1eEbHZbAoNDa3XFhYWptraWsXExHjU54fzm5OTk6M5c+a497///nudPHlSPXv2dK+stCen06n4+HhVVVUpMrLpf6X7O+bhPwJhDlJgzCMQ5iAxD38SCHOQfDMPy7JUU1Ojvn37Nnuex0HEbrerrKysXltNTY26du3abJ/jx497fL4khYaGNgg80dHRnpbZZpGRkR36D9UPmIf/CIQ5SIExj0CYg8Q8/EkgzEHy/jyioqJaPMfjm1VTU1O1bds2935lZaVcLpfsdrvHfXbs2KG4uDhPhwQAAAHO4yCSnp4uh8OhoqIiSVJeXp7Gjh2rkJAQOZ1OXbx4sUGfSZMmaevWrdq4caMuXbqkRYsWafz48e1XPQAA6NBadY9IQUGBpk6dquzsbNXV1Wnz5s2SLj9Bs3jxYmVmZtbr06tXL7366qsaP368oqKi1L17d797fDc0NFR//OMfG1wO6miYh/8IhDlIgTGPQJiDxDz8SSDMQfKveQRZlgevR/2Rw4cPq6SkRGlpaYqNjfWoz7fffquKigqNHj06IK6pAQCA9tHqIAIAANBe+OgdAAAwhiACAACMIYgAAABjOnUQcTgc+u6771RdXd3yu/DhcwcPHjRdQps5HA7V1NSYLuOKPf744zp58qTpMtrszJkz2rNnj86fP2+6lDa5cOGC3nrrLT377LMqKCjoML8TRUVFqqysNF2G13z99dfavn276pr5toy/OXXqlN/+P6nTBZHly5frlltuUc+ePXXdddfp5ptvVlJSknr06KHJkyeroqLCdImdwu7du3XLLbeoW7duGjJkiN544416v9Rnz55VYmKiwQo9s2bNGiUkJCg6OloPPfSQnE6npkyZIrvdrpiYGGVkZKi6utp0mc0qKipqcissLFRhYaH7/UH+7LrrrtPZs2clSVVVVbrjjjsUHR2tgQMHKiIiQo888ojOnTtnuErPXbp0Sb/61a+Un5+vvXv36u2339agQYP04Ycfmi6tRQ888IBuvvlmzZw5s8OEp8YcOHBAt956q/r166cHH3xQ1dXVGj58uMaMGaO0tDQlJSVpx44dpstsVnV1tdLT09WrVy9FR0dr5MiRWrlypV/947tTBZFnnnlGa9eu1V//+ldVV1fr6NGjOnjwoE6dOqX//e9/6tOnj0aPHu33f3EEggceeEB9+/ZVcXGxHnvsMb366qtKTU3V7t273ef40y9KY6qrq/Xggw/q5Zdf1meffaZLly5p0KBBqqmp0YEDB1RVVaXY2Fg99thjpktt1qpVq/TAAw8oLy9PmzZt0saNG93bxYsX9cUXX2jTpk2my2zRt99+6w6zjzzyiGw2m/bt26fTp0+ruLhYW7du1bPPPmu4yuZNnjzZvZKwfv16devWTTt37tTq1av1xRdfKC8vT08//bTZIj301VdfKT4+XsOHD9dvf/tbrV+/vkOtIEjSww8/rAEDBujdd9/V+fPndfPNN2vcuHE6ceKEjh49qsTERD388MOmy2zWk08+qcjISJWVlam8vFyjR4/Wvffeq8GDB/tPqG32k3gBxm63W/v27Wv2nN69e1v//Oc/fVRR2xw4cMCjzZ/ZbDbr2LFj7v0LFy5Y2dnZVlRUlLVq1SrrzJkzVnBwsMEKW/b5559bP//5z937Fy5csOx2u7Vjxw53W1VVlRUVFWWgutb529/+Zl199dXWrFmzrJqaGnd7dHS03/9Z+kFwcLDldDoty7Ksbt26WZWVlfWOf/rpp1b//v0NVOa5Z555xoqKirJeeOEFq7Cw0Hr55ZfrHT906JDVvXt3Q9V5LigoyHI4HJZlWdb58+etZcuWWcOHD7d69uxp3X///VZhYaG1e/duw1W2rEePHu4vx54+fdoKDg62zp496z6+cuVKKzQ01FR5HomJibEOHjxYry0tLc2aMWOGddVVV1mjR4+2/vvf/xqq7rJOFURSU1OtWbNmWefOnWv0+IoVK6zw8HDryJEjPq6sdRITE63g4GArODjYCgoKanTz97/Er732Wmvt2rUN2j/++GPrqquush599FG/n0N1dbUVExNjlZeXu9tKS0vrnfPmm29a119/va9La5OTJ09a06dPt/r3728VFxdbltWxgkhQUJD10UcfWWfPnrWSkpIa/M91y5Ytlt1uN1Sd53bu3GmNGjXK6tGjh3XTTTdZp0+fdh9bsmSJNWrUKIPVeSY4ONgdRH5sz549Vm5urpWenm6FhYUZqKx1rrnmGvc/LLZv324FBQVZJSUl7uN//vOfrYSEBFPleWTw4MHWp59+Wq9t2LBh1t69e63a2lorLy/P6tWrl6HqLutUQWTnzp1WYmKi1bNnTysjI8N6/PHHrblz51rTpk2zkpOTrd69e1vvv/++6TJbdOLECWvkyJHWa6+9ZrqUNnv//fctu91uLVmypMGxvXv3WikpKX4fRCzLslatWmXFxsZaK1eubHAsOzvbioyMtD7++GMDlbXdhg0brOuuu8669957rYiIiA4TRB5//HErLS3NioyMtCIiIqyRI0e6j61Zs8ZKTk62/vCHPxissHWWLFliXXXVVVaPHj2s2267zUpLS7NiYmKs//znP6ZLa9GPV0Sa0tQ/CP1JUVGRdc0111h33XWXFRsba82YMcPq16+fNW/ePOu+++6zunfvbr344oumy2zWsmXLrIiICGvOnDnW4sWLrTFjxli//OUv653z47BrQqd7s+qFCxf0r3/9S19//bWcTqdsNpvsdrtSU1OVnp6ukJAQ0yV6pLq6WllZWXrzzTeVkJBgupw22bdvnyoqKpSRkdHg2Pnz57V+/XpNnjzZQGWt88MTMv369avXvnHjRg0aNEh9+vQxVFnbuVwuvfjii1q1apW2bt2qvn37mi7JY3V1ddq5c6fKy8s1depUSdLcuXN144036r777jNcXeucPXtW7733ng4fPqz4+HhlZGQoJibGdFktWr58ue655x7ZbB5/zsxv7du3T9u3b9f111+vlJQUbdu2TWvWrNGlS5c0atQo3XXXXaZLbNG///1vrVixQidOnNCNN96oefPm+dWfo04XRAAAgP/oVE/NAAAA/0IQAQAAxhBEAACAMQQRAABgDEEEAAAYQxABAADGEEQAAIAxBBEAAGDM/wN3VmfSOe27cAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 方法1\n",
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7769b2ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 方法2 \n",
    "df.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "22d6ee3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zzp07p8LCQmVlZfXpBAAAwODldxApLS1VTU2Ntm/frujoaO9WX1+v9PR07du374IxiYmJ2rRpk7KyspSUlKQjR45o3bp1fToBAAAwePl9jkh2draMMZ/5Xl1d3UXH5eXlacGCBaqpqdGcOXMUExMTcJOBWuYK6mKggFSFvAIAAOEv9N/YklJTU3u95wgAALj88NA7AABgDUEEAABYQxABAADWEEQAAIA1/XKyKgD7uJoMwEDEiggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAa5y2GwCAQCxzhf5/W1UhrwDgE6yIAAAAa1gRAQBgkKuZmhbyGmnv1oTkc1kRAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDXc4n0AC/XDvXiwF4BLwQMI0RdYEQEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANWF5+W7V+8dttwAAAPzAiggAALCGIAIAAKwJOIg0NzcrJSVFdXV1fh2/ePFiORwO7zZ//vxASwIAgDAV0DkiTU1NWrx4sd8hRJLefPNNVVVVafz48ZKkyMjIgBoEBgLOOwKA0AhoRSQnJ0c5OTl+H3/ixAkZYzRjxgzFxcUpLi5OI0eODLhJAAAQngIKItu2bdNDDz3k9/GHDh1Sd3e3xo8fr5EjRyonJ0ctLS0BNwkAAMJTQEFk0qRJAX14bW2tMjIyVFpaqoqKCtXV1Wnt2rU+x3g8Hrnd7h4bAAAITyG9ambNmjUqKSnR9OnTlZaWpieffFJ79uzxOWbjxo2KjY31bsnJyaFsEQAAWNSvl+/GxcWpqalJHo/nose4XC61trZ6t4aGhn7sEAAA9KeQBpHbb79d5eXl3v1Dhw5pzJgxioqKuuiYqKgoxcTE9NgAAEB46pMg4na71dXVdcHr6enpWrVqld544w29/PLLWr9+vfLy8vqiJAAACAN9EkTS09O1b9++C153uVyaNm2abrnlFv3whz9Ubm6uXC5XX5QEAABhIKiH3hljeuxf7AZnkZGRKioqUlFRUTBlAABAmONZMwAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsCeo+IgAAhItlrtB/FVaFvMLgxYoIAACwhiACAACsIYgAAABrOEcEIVUzNS3kNdLerQl5DQBAaBBEAMCCUJ8gycmRGCz4aQYAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWcIv3Aazq/eO2WwAAIKRYEQEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFjDQ+8AAEHhwZzoCwQR4DLBlwaAgYifZgAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANVw1AwDAILfMFfqv86oQfS4rIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwJuAg0tzcrJSUFNXV1fl1/P79+5WWlqbExERt3rw50HIAACCMBRREmpqatGjRIr9DSGNjo5YsWaI777xTBw8e1K5du1RWVhZMnwAAIAwFdAeUnJwc5eTkqLy83K/jd+3apaSkJK1fv14Oh0OPP/64ioqKNHfu3KCaBYCq94/bbgFAHwpoRWTbtm166KGH/D6+srJS8+bNk8PhkCTNnDlTb731ls8xHo9Hbre7xwYAAMJTQEFk0qRJAX242+1WSkqKdz8mJkYnT570OWbjxo2KjY31bsnJyQHVBAAAg0dIr5pxOp2Kiory7g8bNkwdHR0+x7hcLrW2tnq3hoaGULYIAAAsCulTchISEtTY2Ojdb2tr09ChQ32OiYqK6hFeAABA+ArpikhmZmaPE1sPHz6scePGhbIkAAAYRPpkRcTtdmv48OGKjIzs8fqSJUt0//33q6ysTDfffLMKCwuVlZXVFyUBAMD/M5ivJuuTFZH09HTt27fvgtcTExO1adMmZWVlKSkpSUeOHNG6dev6oiQAAAgDQa2IGGN67Pu6wVleXp4WLFigmpoazZkzRzExMcGUBAAAYSikJ6t+IjU1Vampqf1RCgAADCI89A4AAFhDEAEAANYQRAAAgDX9co4IgjPx7O6Qfn5dSD/9vGWu0P8Rqwp5BQBAqLAiAgAArAnLFZFQryRI/bOaACB8DeYbUAF9iRURAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgTVg+fRcDB08YBQD4QhBBSE08uzvkNepCXgEAECr8NAMAAKxhRQTwAys7ABAarIgAAABrWBEBAAtCvcpWF9JPB/oOKyIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqumgEwqHBPFyC8sCICAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBruIwJcJrj/BoCBiBURAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANV80AAC5rVe8ft93CZY0VEQAAYA1BBAAAWBNQEDly5IgyMzMVHx+v/Px8GWN6HbN48WI5HA7vNn/+/KCbBQAA4cXvIOLxeLR48WJlZGSooqJC1dXVKi4u7nXcm2++qaqqKrW0tKilpUV79+69lH4BAEAY8TuIlJSUqLW1VZs3b9bVV1+tDRs2qKioyOeYEydOyBijGTNmKC4uTnFxcRo5cuQlNw0AAMKD30GksrJSN9xwg0aMGCFJSk9PV3V1tc8xhw4dUnd3t8aPH6+RI0cqJydHLS0tl9YxAAAIG34HEbfbrZSUFO++w+HQkCFDfAaL2tpaZWRkqLS0VBUVFaqrq9PatWt91vF4PHK73T02AAAQnvwOIk6nU1FRUT1eGzZsmDo6Oi46Zs2aNSopKdH06dOVlpamJ598Unv27PFZZ+PGjYqNjfVuycnJ/rYIAAAGGb+DSEJCghobG3u81tbWpqFDh/pdLC4uTk1NTfJ4PBc9xuVyqbW11bs1NDT4/fkAAGBw8TuIZGZmqry83LtfV1cnj8ejhISEi465/fbbe4w5dOiQxowZc8HKyqdFRUUpJiamxwYAAMKT30Fk9uzZam1t1Y4dOyRJBQUFmj9/voYMGSK3262urq4LxqSnp2vVqlV644039PLLL2v9+vXKy8vru+4BAMCg5vezZpxOp7Zt26a77rpL+fn56u7u1v79+yWdDxxbtmxRdnZ2jzEul0v19fW65ZZbdOWVVyo3N1cul6tPJwAAAAavgB56l52drffee08VFRWaNWuWRo8eLen8zzSfJTIyUkVFRb3ebwQAAFyeAn767rhx4zRu3LhQ9AIAAC4zPPQOAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFgT8FUzAACEk4lnd4e8Rl3IKwxerIgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGu4agYAgEFuMF/5w4oIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsMZpuwEAwOA08ezukNeoC3kF2MaKCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArAkoiBw5ckSZmZmKj49Xfn6+jDG9jtm/f7/S0tKUmJiozZs3B90oAAAIP34HEY/Ho8WLFysjI0MVFRWqrq5WcXGxzzGNjY1asmSJ7rzzTh08eFC7du1SWVnZpfYMAADChN9BpKSkRK2trdq8ebOuvvpqbdiwQUVFRT7H7Nq1S0lJSVq/fr0mT56sxx9/vNcxAADg8uH098DKykrdcMMNGjFihCQpPT1d1dXVvY6ZN2+eHA6HJGnmzJlyuVw+x3g8Hnk8Hu9+a2urJMntdvvbqj72dPh9bLAC6SdYoZ5HOMxBYh7+Coc5SMzDX+EwB4l5+GsgzuGT43s9jcP4afXq1SYvL6/Ha4mJieajjz666JjbbrvN/OxnP/Put7e3m5iYGJ91nnjiCSOJjY2NjY2NLQy2hoYGn9/7fq+IOJ1ORUVF9Xht2LBh6ujoUHx8vF9jPjneF5fLpdWrV3v3P/74Y3300Ue64oorvCsrfcntdis5OVkNDQ2KiYnp88/vL8xj4AiHOUjhMY9wmIPEPAaScJiD1D/zMMaora1NY8eO9Xmc30EkISFBR44c6fFaW1ubhg4d6nNMY2Oj38dLUlRU1AWBJy4uzt82gxYTEzOo/1B9gnkMHOEwByk85hEOc5CYx0ASDnOQQj+P2NjYXo/x+2TVzMxMlZeXe/fr6urk8XiUkJDg95jDhw9r3Lhx/pYEAABhzu8gMnv2bLW2tmrHjh2SpIKCAs2fP19DhgyR2+1WV1fXBWOWLFmiAwcOqKysTOfOnVNhYaGysrL6rnsAADCoBXSOyLZt23TXXXcpPz9f3d3d2r9/v6TzV9Bs2bJF2dnZPcYkJiZq06ZNysrKUmxsrEaOHDngLt+NiorSE088ccHPQYMN8xg4wmEOUnjMIxzmIDGPgSQc5iANrHk4jPHj9qifcvLkSVVUVGjWrFkaPXq0X2P+/e9/q6amRnPmzAmL39QAAEDfCDiIAAAA9BUeegcAAKwhiAAAAGsIIgAAwJrLOoi0trbqP//5j5qbm3u/Fz763fHjx223ELTW1la1tbXZbuOSPfDAA/roo49stxG09vZ2vffeezp79qztVoLS2dmpX//613rssce0bdu2QfN3YseOHaqrq7PdRsi88847evvtt9Xd3W27Fb+1tLQM2P8nXXZB5Nlnn9XNN9+sK664QlOmTNH111+v1NRUjRo1SkuXLlVNTY3tFi8LtbW1uvnmmzV8+HB94Qtf0NNPP93jL/Xp06eVkpJisUP/vPDCC5o4caLi4uL03e9+V263W7fddpsSEhIUHx+vhQsXqrm52XabPu3YseOiW3FxsYqLi733DxrIpkyZotOnT0uSGhoa9PWvf11xcXH6/Oc/r+joaK1cuVJnzpyx3KX/zp07p6985SvavHmzjh49qt/85jeaOnWq/vSnP9lurVd33323rr/+euXm5g6a8PRZ6uvrNXfuXI0fP1733HOPmpubNXPmTM2bN0+zZs1SamqqDh8+bLtNn5qbmzV79mwlJiYqLi5ON954o3bv3j2g/vF9WQWRRx99VHv27NGvfvUrNTc368MPP9Tx48fV0tKif/3rX0pKStKcOXMG/BdHOLj77rs1duxYlZSU6P7779emTZuUmZmp2tpa7zED6S/KZ2lubtY999yjn/70p3r99dd17tw5TZ06VW1tbaqvr1dDQ4NGjx6t+++/33arPj333HO6++67VVBQoL///e8qKyvzbl1dXTp48KD+/ve/226zV//+97+9YXblypVyOp06duyYTp06pZKSEh04cECPPfaY5S59W7p0qXclobS0VMOHD1dVVZWef/55HTx4UAUFBVq1apXdJv301ltvKTk5WTNnztQ3vvENlZaWDqoVBEn63ve+p6uvvlq/+93vdPbsWV1//fVasGCBmpqa9OGHHyolJUXf+973bLfp0w9+8APFxMToyJEjqq6u1pw5c/TNb35TM2bMGDih1ucj8cJMQkKCOXbsmM9jrrrqKvPHP/6xnzoKTn19vV/bQOZ0Os1///tf735nZ6fJz883sbGx5rnnnjPt7e0mIiLCYoe9++c//2m++MUvevc7OztNQkKCOXz4sPe1hoYGExsba6G7wPz2t781Y8aMMXl5eaatrc37elxc3ID/s/SJiIgI43a7jTHGDB8+3NTV1fV4/9VXXzUTJkyw0Jn/Hn30URMbG2t+9KMfmeLiYvPTn/60x/snTpwwI0eOtNSd/xwOh2ltbTXGGHP27FnzzDPPmJkzZ5orrrjCfOc73zHFxcWmtrbWcpe9GzVqlPfJsadOnTIRERHm9OnT3vd3795toqKibLXnl/j4eHP8+PEer82aNcvcd9995sorrzRz5swxb775pqXuzrusgkhmZqbJy8szZ86c+cz3d+7caUaMGGE++OCDfu4sMCkpKSYiIsJEREQYh8PxmdtA/xKfNGmS2bNnzwWv//WvfzVXXnml+f73vz/g59Dc3Gzi4+NNdXW197XKysoex2zfvt1Mmzatv1sLykcffWRWrFhhJkyYYEpKSowxgyuIOBwO85e//MWcPn3apKamXvA/13/84x8mISHBUnf+q6qqMjfddJMZNWqUue6668ypU6e8723dutXcdNNNFrvzT0REhDeIfNp7771nNmzYYGbPnm2GDRtmobPAfO5zn/P+w+Ltt982DofDVFRUeN//xS9+YSZOnGirPb/MmDHDvPrqqz1ey8jIMEePHjUdHR2moKDAJCYmWuruvMsqiFRVVZmUlBRzxRVXmIULF5oHHnjAPPzww+bb3/62mTx5srnqqqvMSy+9ZLvNXjU1NZkbb7zR/PKXv7TdStBeeuklk5CQYLZu3XrBe0ePHjVpaWkDPogYY8xzzz1nRo8ebXbv3n3Be/n5+SYmJsb89a9/tdBZ8F577TUzZcoU881vftNER0cPmiDywAMPmFmzZpmYmBgTHR1tbrzxRu97L7zwgpk8ebJZu3atxQ4Ds3XrVnPllVeaUaNGma9+9atm1qxZJj4+3rzxxhu2W+vVp1dELuZi/yAcSHbs2GE+97nPmTvuuMOMHj3a3HfffWb8+PHmkUceMd/61rfMyJEjzU9+8hPbbfr0zDPPmOjoaLN69WqzZcsWM2/ePPPlL3+5xzGfDrs2XHZ3Vu3s7NSf//xnvfPOO3K73XI6nUpISFBmZqZmz56tIUOG2G7RL83NzcrJydH27ds1ceJE2+0E5dixY6qpqdHChQsveO/s2bMqLS3V0qVLLXQWmE+ukBk/fnyP18vKyjR16lQlJSVZ6ix4Ho9HP/nJT/Tcc8/pwIEDGjt2rO2W/Nbd3a2qqipVV1frrrvukiQ9/PDDuvbaa/Wtb33LcneBOX36tH7/+9/r5MmTSk5O1sKFCxUfH2+7rV49++yzWr58uZxOvx9nNmAdO3ZMb7/9tqZNm6a0tDSVl5frhRde0Llz53TTTTfpjjvusN1ir/72t79p586dampq0rXXXqtHHnlkQP05uuyCCAAAGDguq6tmAADAwEIQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGDN/wG9z8D3YPIioQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 堆叠柱状图\n",
    "df.plot.bar(stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c78a80f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据源为Series\n",
    "s = pd.Series(data=[100, 200, 300, 200])\n",
    "s.index = ['Lily', 'Lucy', 'Jack', 'Rose']\n",
    "#s.plot(kind='bar') # 不加kind默认是折线图\n",
    "s.plot(kind='barh') # kind见文档"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b74e4f1",
   "metadata": {},
   "source": [
    "DataFrame柱状图示例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a40b2214",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Python</th>\n",
       "      <th>C</th>\n",
       "      <th>Java</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>19</td>\n",
       "      <td>56</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>54</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Python   C  Java\n",
       "A      19  56    18\n",
       "B      54  28    51\n",
       "C      11  18    65\n",
       "D      44  46    10"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.random.randint(0, 100, size=(4, 3))\n",
    "index = list(\"ABCD\")\n",
    "columns = ['Python', 'C', 'Java']\n",
    "\n",
    "df = pd.DataFrame(data, index, columns)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4ff798de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ede440b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.T.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "73304474",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cceb3fce",
   "metadata": {},
   "source": [
    "#### 聚会规模可视化项目:\n",
    "1. 读取文件tips.csv, 查看每天各种聚会规模的比例。\n",
    "2. 求和df.sum(), 注意灵活使用axis。\n",
    "3. df.div():获取数dataframe和其他元素的浮点除法。  \n",
    "\n",
    "视频06:21开始"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e07e5446",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Fri</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Stat</td>\n",
       "      <td>2</td>\n",
       "      <td>53</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sun</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thur</td>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    day  1   2   3   4  5  6\n",
       "0   Fri  1  16   1   1  0  0\n",
       "1  Stat  2  53  18  13  1  0\n",
       "2   Sun  0  38  15  18  3  1\n",
       "3  Thur  1  48   4   5  1  3"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tips = pd.read_csv('data/tips.csv')\n",
    "tips = pd.read_excel('data/tips.xlsx', sheet_name='Sheet1')\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5ab4aed",
   "metadata": {},
   "source": [
    "把day作为行为索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ad51feb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stat</th>\n",
       "      <td>2</td>\n",
       "      <td>53</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thur</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      1   2   3   4  5  6\n",
       "day                      \n",
       "Fri   1  16   1   1  0  0\n",
       "Stat  2  53  18  13  1  0\n",
       "Sun   0  38  15  18  3  1\n",
       "Thur  1  48   4   5  1  3"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips2 = tips.set_index('day')\n",
    "tips2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "babc85e7",
   "metadata": {},
   "source": [
    "求每天的聚会规模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "29fa2eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day\n",
       "Fri     19\n",
       "Stat    87\n",
       "Sun     75\n",
       "Thur    62\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_sum = tips2.sum(axis=1)\n",
    "day_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80cacbc4",
   "metadata": {},
   "source": [
    "每天各种聚会规模的比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "03907d1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stat</th>\n",
       "      <td>0.022989</td>\n",
       "      <td>0.609195</td>\n",
       "      <td>0.206897</td>\n",
       "      <td>0.149425</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.506667</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.013333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thur</th>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.774194</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>0.080645</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.048387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             1         2         3         4         5         6\n",
       "day                                                             \n",
       "Fri   0.052632  0.842105  0.052632  0.052632  0.000000  0.000000\n",
       "Stat  0.022989  0.609195  0.206897  0.149425  0.011494  0.000000\n",
       "Sun   0.000000  0.506667  0.200000  0.240000  0.040000  0.013333\n",
       "Thur  0.016129  0.774194  0.064516  0.080645  0.016129  0.048387"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips3 = tips2.div(day_sum, axis=0)\n",
    "tips3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2f23d1e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tips3.plot(kind='bar')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
